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Part 4: Character occurrence Section Chief Blevins: Agent Mulder. What are his thoughts? Scully: Agent Mulder believes we are not alone. This is part 4 of a natural language processing analysis of X-Files episode summaries. Parts 1 and 2 dealt with obtaining and cleaning the data, part 3 showed an analysis of prominent words by […] [Read more...]

Part 3: Monster vs. Mythology word use Mulder: We’ve both lost so much… but I believe that what we’re looking for is in the X-Files. I’m more certain than ever that the truth is in there. Scully: I’ve heard the truth, Mulder. Now what I want are ... [Read more...]

Part 2: Preparing for text analysis Cigarette Smoking Man: But I’ve come today not to ask, but to offer. To offer you the truths that you so desperately sought. This is part 2 of a natural language processing analysis of X-Files episode summaries. In part 1 I explained how to get the ... [Read more...]

The great thing about data science is that you can find data in almost every subject and try out new methods independent of the content. I wanted to explore some natural language processing packages and techniques and was looking for interesting textual data beyond Twittr dumps and R mailing list ... [Read more...]

What makes a restaurant child friendy, and how can I use data to predict it? That’s the question I spent the last two months on. As part of my capstone submission to Johns Hopkins University’s Data Science Specialization, I used R to build a a machine-learning prediction algorithm ... [Read more...]